Blockchain and FinTech - a Canadian perspective

Transcription

1 Blockchain and FinTech - a Canadian perspective Annick Demers, Counsel, Blake, Cassels & Graydon LLP Prakash Hariharan, Chairman, Analytixinsight Usman Sheikh, Partner, Gowlings WLG

2 PRESENTATION FinTech snapshot FinTech Ecosystem in Canada Collaborations FinTechs & legacy players Summary of regulators initiatives worldwide Regulators initiatives: Canadian regulators Regulators from jurisdictions other than Canada 2

3 FINTECH SNAPSHOT «FinTech» Ecosystem Competing financial service providers Additional service providers (effective services and customer experience) Technology solution providers to the financial institution Areas Payment, funds transfer and retail trade Lending (consumer loan, mortgage, lending to small businesses, crowdfunding and peer-to-peer lending) Wealth management and financial data analysis Markets and trade Blockchain (including smart contracts) Insurance Cybersecurity 3

4 KEY FINTECH TRENDS 4

5 FINTECH ECOSYSTEM IN CANADA Collaborations mentioned in the media : Power Corporation: investment in Wealthsimple NBC: agreement with Lending Club CIBC, Desjardins, TD and Scotia : creation of internal innovation labs CIBC and Scotia: collaboration with Thinking Capital Manulife : partnership with Garmin RBC : Considering reward program using on blockchain technology Partnership with Nymi Alliance with UBER Scotia : partnership with Kabbage TD : partnership with Nymi and Moven 5

6 REGULATORS INITIATIVES WORLDWIDE Adoption of guidelines / framework / legislative bill (ex: OCC) Creation of sandboxes (ex: FCA, MAS, ADGM, AKMA and OCC ) Safe space to test innovative products and develop a business model / delivery mechanism without immediately incurring all the normal regulatory consequences of engaging in the regulated activity. Participation to innovation hubs / sandboxes (ex: Bank of Canada and MAS) Introduction of innovation hubs (launchpads) (ex: OSC) Allows regulators to work directly with FinTech companies to help them navigate their regulatory framework. Creation of dedicated internal workgroups (ex: AMF) Consultation with industry (ex: AMF, Department of Finance) Conducting market studies (ex: Competition Bureau, Bank of Canada, etc.) 6

7 CANADIAN REGULATORS Department of Finance: Release of consultation process on the national payment system (April 13, 2015) Release of consultation process on the Federal Financial Sector Framework (August 26, 2016) Competition Bureau Launch of market study to assess the Canadian FinTech Ecosystem (May 19, 2016) Bank of Canada : Attribution of internal resources to conduct a market study Announcement of participation in Project Jasper - blockchain testing (June 16, 2016) Quebec s Autorité des marchés financiers (AMF): Creating an internal FinTech group (June 13, 2016) Creating an advisory FinTech committee (September 14, 2016) Ontario Securities Commission (OSC) Introducing an innovation hub referred to as the LaunchPad (October 24, 2016) 7

8 REGULATORS FROM JURISDICTION OUTSIDE OF CANADA UK s Financial Conduct Authority (FCA) Project Innovate (October 1, 2014) Regulatory Sandbox - part of Project Innovate (May 9, 2016) Germany s Federal Financial Supervisory Authority (BaFin) Ongoing dialogue with FinTech Industry Monetary Authority of Singapore (MAS) Release of consultation paper (June 6, 2016) Release of guidelines for their FinTech regulatory sandbox (November 16, 2016) Announcement blockchain testing initiative to conduct interbank payments (November 16, 2017) Australian Securities and Investment Commission (ASIC) Release of consultation paper (June 8, 2016) Abu Dhabi s Financial Service Regulatory Authority (FSRA) & Global Market (ADGM) Release of consultation paper (August 31, 2016) Annoucement of regulatory sandbox (November 2, 2016) Hong Kong Monetary Authority (HKMA) Adoption of a sandbox regime (in effect as of September 6, 2016) USA s Office of the Comptroller of Currency (OCC) Release of whitepaper (March 31, 2016) Creation of the Office of Innovation / decision to implement regulatory framework & to create a sandbox (October 26, 2016) US Bill to introduce the Financial Services Innovations Act of 2016 (September 22, 2016) 8

9 Computers redefining the finance industry: Trading Algorithms run equity research and Trading Machine learning and neural networks employed to analyze and utilize several 100 factors concurrently to pick stocks Stocks scored on several parameters fundamentals and technical indicators Performance regressed over time to decide optimal weightings for stock choices Different trading algorithms today - Proprietary Trading (Prop Trading): Discovering, buying, selling stocks done via algorithms Algorithmic trading: Block trades to sell large amounts of stock without impacting price Predatory Trading: Trading to sniff out and counter such block trades Industry faces paradigm shift as focus moves out of fundamentals and into statistics to make stock picks Page 1

10 Computers redefining the finance industry: Equity Research Equity research fundamentally algorithmic, bound by set of rules Content is king for financial portals Manual stock coverage significantly inefficient, necessitating need for automated narrative generation News, stock tips and trading all happen on mobile device Providing content seamlessly research, scores, trading ideas, screening tools need of the hour Page 2

11 Graphical representation of important ratios Comparing companies on P/B/, P/E, P/EBITDA across 5 yrs and also the TTM value Profitability and other ratios for the company under analysis and also those of the peers

12 Narratives from numbers Provide Analysis Reports for e.g. Fundamental Analysis, Corporate Actions, Dividend Quality and Earnings Quality All reports are algorithmically generated

13 ETF Peer Analysis ETF Analysis on Performance, Volatility Parameters like 1 month, 3 month return

14 Detailed ETF Constituent Analysis ETF Constituent analysis on P/E, P/B, P/EBITDA ETF Analysis on profitability, efficiency, growth

15 Big Data Analysis - Stocks 45 Net Margins /1/ /1/2007 1/1/2009 1/1/2011 1/1/2013 1/1/2015 AVGO INTC MU QCOM Semiconductor vs. Oil /1/2005 1/1/2007 1/1/2009 1/1/2011 1/1/2013 1/1/2015 AVGO INTC MU QCOM OIL Big data correlations analysis Net Margin analysis for semiconductor cos. for 10 years

16 BLOCKCHAIN & THE CAPITAL MARKETS USMAN M SHEIKH, LITIGATION PARTNER

17 SIGNIFICANT IMPACT You should be taking this technology as seriously as you should have been taking the development of the Internet in the early 1990 s. Blythe Masters The technology likely to have the greatest impact on the financial services industry and the world of business has arrived. Alex Tapscott Financial Institutions are early adopters it is estimated that 80% of banks are working on blockchain projects... blockchain will transform the world Ginni Rometty, IBM 2

18 WHAT IS BLOCKCHAIN? LEDGER At its core, blockchain is just a database or ledger of transactions / events ( distributed ledger technology or DLT ) CONSIDER THE IMPORTANCE OF LEDGERS IN YOUR LIFE 1. Bank Transactions 2. Stock Transactions 3. Real Estate Transactions 4. Etc CRITICAL ELEMENT TO EACH OF THESE LEDGERS A trusted third party intermediary 3.

19 HOW IS THIS LEDGER UNIQUE? NO NEED FOR A TRUSTED THIRD PARTY Managed to design a ledger / database that allows transactions directly from one party to another without going through a third party (e.g., a financial institution) 4.

20 DISINTERMEDIATION The blockchain protocol threatens to disintermediate almost every process in financial services. World Economic Forum The technology likely to have the greatest impact on the financial services industry and the world of business has arrived. Alex Tapscott If the banks don t change, we will change the banks Jack Ma / Alibaba Group 5

21 6 THE TECHNOLOGY

22 HOW DOES IT DO THAT? DISTRIBUTED There is a distributed digital master ledger of assets and transactions that is shared among participants in the system ( nodes ) TRANSACTION VALIDATED BY CONSENSUS For any new transaction, the master ledger can only be updated by consensus of a majority of nodes 7.

23 HOW DOES IT DO THAT? ACHIEVE CONSENSUS Crypotographic process; proof of work 1. Proposed transaction is first confirmed by nodes to be valid 2. Transaction then joins a block of similarly cleared transactions (block contains a set of all cleared transactions within that 10 min period) 3. The new block contains reference to the prior block creating a chain in the blockchain 4. The new block is formally added onto the blockchain only after certain nodes ( miners ) solve a complicated encryption algorithm ( hash ). Miner receives a reward. 5. The new block will populate on the master ledger maintained by all nodes in the system. 8.

24 KEY FEATURES ELIMINATES DOUBLE SPEND PROBLEM If try to sell same asset, transaction will be rejected by network as having already been spent NO CENTRAL TRUSTED AUTHORITY REQUIRED Strangers can hold / exchange assets without having to trust each other or a central authority TRANSPARENT YET PRIVATE Each transaction (since inception) is available to be viewed, but privacy of the parties can be maintained IMMUTABLE RECORD Once validated, transactions are immutable (cannot modify, cancel or revoke; irreversible) SECURITY Blockchain is considered tamper proof 9.

25 KEY BENEFITS CUTTING COSTS Reduces the need for multiple intermediaries (transaction costs), the need for individual ledgers, etc REDUCING COMPLEXITY AND INCREASING EFFICIENCY Fewer intermediaries, streamlines / simplifies processes, reduce errors and delays, reduces data duplication SPEEDING UP TRANSACTIONS Enables near to or real time processing of transactions INCREASING SECURITY / RESILIENCE No single point of failure TRANSPARENCY Obtain real time view of information ENHANCE TRUST Enhance trust among parties 10.

26 PUBLIC / PRIVATE BLOCKCHAINS Blockchains can be private or public PUBLIC A public blockchain is a blockchain where there are no restrictions on reading blockchain data and submitting transactions for inclusion into the blockchain (e.g., Bitcoin) PRIVATE A private blockchain is a blockchain in which direct access to blockchain data and submitting transactions is limited to eligible persons/entities (e.g., Linux Foundation Hyper Ledger) 11

27 12 APPLICATION TO THE CAPITAL MARKETS

28 CAPITAL MARKETS Prime target for blockchain technology Complex global network of interconnected banks and intermediaries Significant duplication of data entry; intermediaries often maintain their own ledgers (data silos) Results in delays and excessive transaction costs Blockchain can reduce / eliminate intermediaries, reduce costs, increase speed and reduce transaction times, heighten security 13.

29 SOME APPLICATIONS SECURITIES TRADING trading, clearing and settlement (T + 3 becomes T + almost instantaneous) FUND TRANSFER / INTERNATIONAL PAYMENTS / FINANCING CORPORATE VOTING RegTech KYC compliance, regulatory monitoring ASSET MANAGEMENT REAL TIME FINANCIALS SMART CONTRACTS self-executing contracts (e.g., swaps) DECENTRALIZED AUTONOMOUS ORGS (DAOs) 14.

30 IN THE NEWS R3CEV Consortium includes over 70 banks: Goldman (departure) JPMorgan Credit Suisse All Six Major Canadian Banks Blockchain infrastructure for banking

31 Usman M Sheikh Partner Litigation usman.sheikh@gowlingwlg.com QUESTIONS? 16